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Proceedings Paper

Workbench for 3D target detection and recognition from airborne motion stereo and ladar imagery
Author(s): Simon Roy; Stephen Se; Vinay Kotamraju; Jean Maheux; Christian Nadeau; Vincent Larochelle; Jonathan Fournier
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Paper Abstract

3D imagery has a well-known potential for improving situational awareness and battlespace visualization by providing enhanced knowledge of uncooperative targets. This potential arises from the numerous advantages that 3D imagery has to offer over traditional 2D imagery, thereby increasing the accuracy of automatic target detection (ATD) and recognition (ATR). Despite advancements in both 3D sensing and 3D data exploitation, 3D imagery has yet to demonstrate a true operational gain, partly due to the processing burden of the massive dataloads generated by modern sensors. In this context, this paper describes the current status of a workbench designed for the study of 3D ATD/ATR. Among the project goals is the comparative assessment of algorithms and 3D sensing technologies given various scenarios. The workbench is comprised of three components: a database, a toolbox, and a simulation environment. The database stores, manages, and edits input data of various types such as point clouds, video, still imagery frames, CAD models and metadata. The toolbox features data processing modules, including range data manipulation, surface mesh generation, texture mapping, and a shape-from-motion module to extract a 3D target representation from video frames or from a sequence of still imagery. The simulation environment includes synthetic point cloud generation, 3D ATD/ATR algorithm prototyping environment and performance metrics for comparative assessment. In this paper, the workbench components are described and preliminary results are presented. Ladar, video and still imagery datasets collected during airborne trials are also detailed.

Paper Details

Date Published: 12 May 2010
PDF: 11 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960M (12 May 2010); doi: 10.1117/12.849567
Show Author Affiliations
Simon Roy, Defence Research and Development Canada (Canada)
Stephen Se, MDA Systems Ltd. (Canada)
Vinay Kotamraju, MDA Systems Ltd. (Canada)
Jean Maheux, Defence Research and Development Canada (Canada)
Christian Nadeau, MDA Systems Ltd. (Canada)
Vincent Larochelle, Defence Research and Development Canada (Canada)
Jonathan Fournier, Defence Research and Development Canada (Canada)

Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

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